Financial supervisors are demanding concrete human oversight, rigorous testing, data quality, and risk controls for AI tools in crypto regulation, even though no single crypto-specific AI rule exists. According to reports from multiple regulatory bodies, this shift represents a move from broad concern to concrete expectations for responsible AI adoption. Bank of England Governor Andrew Bailey emphasized the need for meaningful human intervention in AI systems and highlighted the importance of rigorous testing to understand risks, including cybersecurity threats in finance. European Central Bank Supervisory Board member Patrick Montagner stressed the need for clearly defined responsibilities, high-quality data, and lifecycle monitoring for banks using AI.
The regulatory landscape is expanding beyond finance to healthcare, with 14 new healthcare AI laws adopted across 11 states during the first part of 2026, according to the Transparency Coalition's July 27 report. Five states - Colorado, Maine, Rhode Island, Tennessee, and Vermont specifically enacted restrictions on AI chatbot-based therapy services, while other states focused on insurance decisions and AI disclosures. Washington enacted legislation preventing AI from serving as the sole basis for healthcare service decisions, and Utah established requirements for AI disclosures and independent medical judgment in insurance authorization. This regulatory wave reflects growing concerns about autonomous AI therapy and insurance decisions, creating a complex environment where companies must account for differences between federal medical device regulation and state professional licensing requirements.
Fernando Restoy from the Bank for International Settlements noted that AI is changing banking operations, requiring supervisors to address broader financial resilience alongside individual-firm controls. Elliptic's recent briefing outlines its eight-principle Elliptic Standard for on-chain risk management, focusing on transparency, governance, high-quality data, business resilience, and accountability. However, as reported by regulatory sources, an industry standard is not the same as regulation, and supervisors are outlining controls expected for responsible AI use while crypto firms increasingly adopt AI for compliance. The FDA's January 6, 2026 revised Clinical Decision Support Software Guidance provides additional regulatory flexibility for software that offers recommendations to healthcare professionals, provided it allows healthcare professionals to independently review recommendation bases rather than relying primarily on the software.
The regulatory developments do not constitute a unified financial regulation for AI use across all crypto firms, as reported by regulatory sources. Bank of England Governor Andrew Bailey warned against hastily regulating innovation, as the supervisory statements apply generally to financial services rather than establishing a specific crypto framework. For exchanges, stablecoin issuers and blockchain analytics providers, the question is not only whether AI can accelerate transaction monitoring but whether firms can explain, audit, and supervise the systems that inform their risk decisions. This shift matters as stablecoin-settled transactions expand, agentic payments develop, and criminal actors become more sophisticated. The expanding healthcare AI regulations, combined with financial sector oversight, create a complex regulatory environment where companies must navigate different jurisdictional requirements and ensure human oversight remains central to their AI operations.
